Deploy Keras Neural Network to Flask web service | Part 1 – Overview

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Deploy Keras Neural Network to Flask web service | Part 1 - Overview

Over the next several videos, we’ll be working to deploy a Keras model to a Flask web service. In this first video, we’re going to discuss what this means and why we’d want to do this. We’ll also get a glimpse of what the final product will look like.

The model we’ll use is the fine-tuned VGG16 image classifier that we worked with earlier in this playlist to predict on images of cats and dogs, but the steps we go through together for this can be used for whatever model you choose to work with. Once we’ve deployed our Keras model to the web service, we’ll be able to access our model over HTTP from other apps, and we’ll even see how we can interact with our model from the browser.

Our end goal will be to deploy the trained model to a Flask web service, and then from the browser, send an image of a cat or dog to the web service, and have it respond with the model’s predictions.

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Recommended books on AI:
The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive:
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Life 3.0: Being Human in the Age of Artificial Intelligence
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Playlists:
Data Science – https://www.youtube.com/playlist?list=PLZbbT5o_s2xo_SRS9wn9OSs_kzA9Jfz8k
Machine Learning – https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU
Keras – https://www.youtube.com/playlist?list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL

Music:
Brittle Rille by Kevin MacLeod
Thief in the Night by Kevin MacLeod
YouTube: https://www.youtube.com/channel/UCSZXFhRIx6b0dFX3xS8L1yQ
Website: http://incompetech.com/
Licensed under Creative Commons: By Attribution 3.0 License
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Author: administrator